docs: def map_kegg_all_genes(organism_code, target_db):
      """Map all of an organism's gene IDs to the target database.
  
      This is faster than supplying a specific list of genes to map,
      plus there seems to be a limit on the number you can map with a manual REST query anyway.
  
      Args:
          organism_code: the three letter KEGG code of your organism
          target_db: ncbi-proteinid | ncbi-geneid | uniprot
  
      Returns:
          Dictionary of ID mapping
  
      """
      mapping = bs_kegg.conv(target_db, organism_code)
  
      # strip the organism code from the keys and the identifier in the values
      new_mapping = {}
      for k,v in mapping.items():
          new_mapping[k.replace(organism_code + ':', '')] = str(v.split(':')[1])
  
      return new_mapping